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165
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TMI
2010
182views more  TMI 2010»
15 years 1 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
ECCV
2006
Springer
16 years 5 months ago
A Physically-Motivated Deformable Model Based on Fluid Dynamics
A novel deformable model for image segmentation and shape recovery is presented. The model is inspired by fluid dynamics and is based on a flooding simulation similar to the waters...
Andrei Jalba, Jos B. T. M. Roerdink
125
Voted
ISBI
2007
IEEE
15 years 9 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
159
Voted
CVPR
2005
IEEE
16 years 5 months ago
3D Geometric and Optical Modeling of Warped Document Images from Scanners
When one scans a document page from a thick bound volume, the curvature of the page to be scanned results in two kinds of distortion in the scanned document images: i) shade along...
Li Zhang, Zheng Zhang 0003, Chew Lim Tan, Tao Xia
114
Voted
CVPR
2008
IEEE
16 years 5 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...